Triple

T2849470
Position Surface form Disambiguated ID Type / Status
Subject Aerojet Rocketdyne E63056 entity
Predicate hasFacilityIn P12416 FINISHED
Object California E26 NE FINISHED

How this triple was built (3 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: California | Statement: [Aerojet Rocketdyne, hasFacilityIn, California]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: California
Context triple: [Aerojet Rocketdyne, hasFacilityIn, California]
  • A. California, United States chosen
    California, United States is a large and populous U.S. state on the West Coast known for its diverse geography, major technology and entertainment industries, and cultural and economic influence.
  • B. CA
    CA is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Canada in international standards and systems.
  • C. CA
    CA is the two-letter U.S. postal abbreviation for the state of California.
  • D. CA
    CA is the IATA airline designator assigned to Air China, the flag carrier of the People's Republic of China.
  • E. California, Pennsylvania
    California, Pennsylvania is a small borough in southwestern Pennsylvania best known as the home of PennWest California (formerly California University of Pennsylvania) along the Monongahela River.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasFacilityIn
Context triple: [Aerojet Rocketdyne, hasFacilityIn, California]
  • A. hasFacilityType
    Indicates that an entity possesses or is associated with a specific type or category of facility.
  • B. hasFacilities chosen
    Indicates that an entity possesses, provides, or is equipped with certain facilities or physical resources.
  • C. ownsFacilityOn
    Indicates that one entity possesses ownership or control over a facility located on or associated with another entity (such as a site, property, or area).
  • D. isNamedFacilityOf
    Indicates that a facility bears the official name associated with a particular entity (such as an organization, person, or place).
  • E. isPrimaryFacilityFor
    Indicates that one facility serves as the main or principal location responsible for supporting or serving a particular entity or operation.
  • F. None of above.

Provenance (4 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ab4c407c408190857d25e027155ce9 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdf41ac24819087c5b72e3b84117c completed March 7, 2026, 8:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69b08633e4108190a783b29a10efcc76 completed March 10, 2026, 8:59 p.m.
PD Predicate disambiguation batch_69abdd0e86808190bcefffafbd3cd441 completed March 7, 2026, 8:08 a.m.
Created at: March 6, 2026, 10:02 p.m.